Another quick update on the remaining known issues. - *SPARK-60241:* Spark Connect PyArrow fallback failure. (from Lisa, can be non-blocking as its limited scope, and fairly involved) - *SPARK-58904:* stream-stream join watermark bug causing missing output or unbounded state (from Jungtaek, can be non-blocking as is long-standing from many releases, and fairly involved). - - Thanks - Szehon
On Mon, Oct 19, 2026 at 2:25 PM Szehon Ho <[email protected]> wrote: > Thanks all, I'll fail this vote as well, as there's a few more critical > fixes that have landed, ex: > > - *SPARK-60023:* cloud-write fix. > - *SPARK-60109:* History Server end-event reparsing fix. > - *SPARK-60110:* compaction fix preventing event loss. > - *SPARK-60158:* performance fix, already included in RC2. > > There's a few other issues I'll keep an eye out, and re-roll after it. > > Thanks, > Szehon > > On Wed, Oct 14, 2026 at 3:23 AM Holden Karau <[email protected]> > wrote: > >> I _believe_ https://github.com/apache/spark/pull/59280 also impacts 4.2 >> so we might want to consider re-rolling if 4.3 re-rolls. >> >> On Wed, Oct 14, 2026 at 2:16 AM Nicholas Chammas < >> [email protected]> wrote: >> >>> +1 >>> >>> I ran the additional distribution tests from #57645 >>> <https://github.com/apache/spark/pull/57645>. They all passed. >>> >>> >>> On Oct 13, 2026, at 4:32 AM, Wenchen Fan <[email protected]> wrote: >>> >>> +1 >>> >>> On Tue, Oct 13, 2026 at 8:00 AM <[email protected]> wrote: >>> >>>> Please vote on releasing the following candidate as Apache Spark >>>> version 4.2.1. >>>> >>>> The vote is open until Thu, 15 Oct 2026 17:58:57 PDT and passes if a >>>> majority +1 PMC votes are cast, with >>>> a minimum of 3 +1 votes. >>>> >>>> [ ] +1 Release this package as Apache Spark 4.2.1 >>>> [ ] -1 Do not release this package because ... >>>> >>>> To learn more about Apache Spark, please see https://spark.apache.org/ >>>> >>>> The tag to be voted on is v4.2.1-rc2 (commit cbae39b3562): >>>> https://github.com/apache/spark/tree/v4.2.1-rc2 >>>> >>>> The release files, including signatures, digests, etc. can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.1-rc2-bin/ >>>> >>>> Signatures used for Spark RCs can be found in this file: >>>> https://downloads.apache.org/spark/KEYS >>>> >>>> The staging repository for this release can be found at: >>>> https://repository.apache.org/content/repositories/orgapachespark-1537/ >>>> >>>> The documentation corresponding to this release can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.1-rc2-docs/ >>>> >>>> The list of bug fixes going into 4.2.1 can be found at the following >>>> URL: >>>> https://issues.apache.org/jira/projects/SPARK/versions/12357191 >>>> >>>> FAQ >>>> >>>> ========================= >>>> How can I help test this release? >>>> ========================= >>>> >>>> If you are a Spark user, you can help us test this release by taking >>>> an existing Spark workload and running on this release candidate, then >>>> reporting any regressions. >>>> >>>> If you're working in PySpark you can set up a virtual env and install >>>> the current RC via "pip install >>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.1-rc2-bin/pyspark-4.2.1.tar.gz >>>> " >>>> and see if anything important breaks. >>>> In the Java/Scala, you can add the staging repository to your project's >>>> resolvers and test >>>> with the RC (make sure to clean up the artifact cache before/after so >>>> you don't end up building with an out of date RC going forward). >>>> >>>> --------------------------------------------------------------------- >>>> To unsubscribe e-mail: [email protected] >>>> >>>> >>> >> >> -- >> Twitter: https://twitter.com/holdenkarau >> Fight Health Insurance: https://www.fighthealthinsurance.com/ >> <https://www.fighthealthinsurance.com/?q=hk_email> >> Books (Learning Spark, High Performance Spark, etc.): >> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> Pronouns: she/her >> >
